Senior Data Engineer, Coinbase
$175.1-206k
+ Target bonus + Target equity
The world’s leading exchange for digital currencies
Open for applications
The world’s leading exchange for digital currencies
1001+ employees
Open for applications
$175.1-206k
+ Target bonus + Target equity
1001+ employees
Company mission
Their mission is to create an open financial system for the world and to be the leading global brand for helping people convert digital currency into and out of their local currency.
Role
Who you are
- Python: Must be adept at scripting in Python, particularly for data manipulation and integration tasks, with strong experience in Object-Oriented Programming (OOP)
- SQL: Must have a solid grasp of advanced SQL techniques for querying, transformation, and performance optimization
- ETL/ELT Processes: Experience in designing, building, and optimizing ETL/ELT data pipelines to process large datasets. Experience with both batch and streaming is a plus
- Apache Airflow: Experience in building, deploying, and optimizing DAGs in Airflow or a similar pipeline orchestration tool
- GitHub: Experience with version control, branching, and collaboration on GitHub is a must-have
- Data Visualization: Experience with tools like Superset, Looker, or Python visualization libraries (Matplotlib, Seaborn, Plotly…etc)
- Data Modeling: Understanding of best practices for data modeling, including star schemas, snowflake schemas, and data normalization techniques
- Collaboration and Communication: Ability to work closely with data scientists, analysts, and other stakeholders to translate business requirements into technical solutions. Strong documentation skills for pipeline design and data flow diagrams
- Fundamental DevOps Practices: Knowledge of unit testing, CI/CD, and repository management
- Technologies: Familiarity with Docker, Kubernetes, and cloud platforms such as AWS or GCP
- Prompt Engineering for LLMs: Expertise in crafting, testing, and refining prompts for effective communication with LLMs, like GPT, to generate accurate and contextually relevant responses is a plus
What the job involves
- The data engineering team develops and maintains robust data pipelines, builds trusted data sources, and creates analytics/data products that inject automation into data science processes, with a goal to empower users via self-serve analytics
- Trusted data sources: Build and maintain a foundational data layer (data marts), that serve as the single source of truth across Coinbase
- Reliable data pipelines: Design and implement robust data pipelines, guaranteeing data quality and timely data delivery across our organization
- Data science developer tools: Build developer tools that inject automation into data science processes, improving efficiency and productivity. For example, data transformation, data modeling, and data quality tooling
- Self-serve analytics products: Deliver tailored data products, designed to empower users with self-serve capabilities and ensure accurate answers to their data inquiries
- Your primary responsibilities will include building tools and products that enhance data science productivity, enable self-serve analytics, and ensure data reliability and quality
- Additional responsibilities may include contributing to the maintenance of critical data marts and data pipelines as needed
- Enforce best practices: Introduce automation mechanisms to enforce data best practices and optimal design principles
- Data transformation tooling: Enhance our data transformation layer by adding new features and migrating data pipelines from legacy tools
- Data quality tooling: Build systems to automate monitoring, alerting and fixing data anomalies
- Productivity tooling: Build internal tools aimed at streamlining workflows, minimizing manual interventions and driving operational efficiencies
- Cross-Functional collaboration: Work alongside fellow data engineers and cross-functional partners from Data Science, Data Platform, Machine Learning, and various analytics teams to ensure alignment on priorities and deliverables
- Reliable data pipelines: Develop new data pipelines and ETL processes, while enhancing the efficiency of existing ones to reduce costs, improve landing times, and ensure reliability. This may involve indexing, partitioning, and tuning the underlying data models
- Semantic layer integration: Build the semantic layer to ensure it effectively translates complex data models from the data marts into business terms. This includes defining dimensions, measures, hierarchies, and business logic
- Self-serve analytics: Contribute to the self-serve analytics chatbot and its infrastructure by adding features, fixing bugs and promoting its use across the company
- Knowledge base: Maintain clear and comprehensive documentation of processes to facilitate smooth team collaboration and hand-offs
Our take
Coinbase allows its users to create their own crypto wallets and start buying or selling cryptocurrencies by connecting with their bank accounts. It also provides a series of merchant payment processing systems and tools that support transactions with many popular websites.
Coinbase has recently made a big push to broaden its services away from consumers and they want to cater services from institutional investors.
Coinbase currently offers one of the largest selection of cryptocurrency assets - over 10,000 but does not allow trading on all of them. The company wisely keeps such offerings to the most stable assets however, the list is always expanding. Coinbase see a much wider adoption of cryptocurrency and tokens in the future, and plan to expand potentially to millions in the future. It speaks volumes to Coinbase's goals of wider global adoption that former UK Finance Minister George Osborne is now an Advisor at the company.
Coinbase's lofty ambitions paid off in it being the first crypto listing on the NASDAQ. The company has weathered several bull and bear runs in the cryptocurrency industry through diversification of its offerings, including wallet-as-a-service technology for crypto platforms, and has acquired healthy coffers of cryptocurrency assets. The aim is to eventually operate independently of the volatility surrounding cryptocurrencies.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 8 rounds)
Oct 2018
$300m
GROWTH EQUITY VC
Oct 2018
$108.1m
SERIES D
Total funding: $633.4m
Company benefits
- 12 weeks maternity/paternity leave
- Vision and dental care
- Commuter benefits
- Learning and development budget
- Unlimited paid time off policy
- Work from home opportunities
- Health insurance
Company values
- Clear Communication - Share information efficiently, improving collaboration and productivity. Practice active listening while. Being candid and kind
- Positive Energy - Be optimistic about the future and determined to get there. Co-create solutions and work together to get there
- Continuous Learning - We view every situation as an opportunity to learn, We value giving and receiving regular feedback
- Efficient Execution - We complete high quality work quickly by working smarter, not harder. We prefer automation over manual work
- Act like an owner: We take 100% responsibility for achieving the mission. We seek to improve all aspects of our company even in ways that are not explicitly part of our job. We run through brick walls.
- Customer focus: We are deeply focused on solving our customers’ problems with technology, by enabling them to acquire, store and use crypto. We strive to be the easiest to use, most trusted and most secure platform. In every decision we make, we ask, “How does this create more value for our customers?”
- Repeatable innovation: We are builders, leveraging technology to improve the world, constantly shipping ideas vs just discussing them. We know that companies must continually reinvent themselves to avoid stagnation. We have a high tolerance for failure, investing 10% of our resources in venture bets that are uncomfortably ambitious
Company HQ
Civic Center, New York, NY
Articles
Leadership
Brian Armstrong
(CEO)Previously founded UniversityTutor.com, also worked as a Software Engineer at AirBnb
Alessia Haas
(CFO)Previously held various head positions, including VP at GE Healthcare, Director at Merrill Lynch and CFO at CIT Bank and Oz Management
People progressing
Joined as a Compliance Analyst, promoted to Compliance Partnerships Senior Associate in 15 months. 2 promotions later, she is now a Financial Crimes & Compliance Manager.
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